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Further developments of methods for searching optimum musical and rhythmic feature vectors

机译:用于搜索最佳音乐和节奏特征向量的方法的进一步发展

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The aim of this paper is first to review recent developments in the domain of musical information retrieval and then to present some methods developed at the Sound and Vision Engineering Department of the Gdansk University of Technology, Poland. Especially important for music retrieval systems is to find optimum music representation. This is can be done using the so-called FED decomposition first. This algorithm is also used for musical duet separation. In this context the evaluation of the efficiency of the FED algorithm based on the ANNs is given. Results of the performed experiments are shown and conclusions are derived.
机译:本文的目的是首先审查音乐信息检索领域的最新进展,然后在波兰格兰斯克理工大学的声音和视觉工程系中提出一些方法。对音乐检索系统特别重要的是找到最佳的音乐表示。这可以使用所谓的馈电分解来完成。该算法也用于音乐二重奏分离。在本文中,给出了基于ANN的馈电算法的效率评估。显示了所进行实验的结果,得出结论。

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